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Author

Jyoti Kumari

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Conference Jul 2026

Advanced Machine Learning Algorithms for Hydrological Modeling: Deep Learning, Ensemble Methods, and Hybrid Approaches

The problems of water catastrophes and shortages have become one of the most urgent issues of the modern era, thereby rendering highly accurate predictions of river discharges a critical concern for governments, engineers, and climatologists. Although the conventional model of hydrological prediction based on physical...

Jyoti Kumari, Prateek Jain, Archana Sharma et al. · 0 citations
Aug 2026

Early forecasting for time series: a framework for predicting future horizons with minimal lookback dependencies

EF-Transformer is proposed, an early forecasting framework designed to predict future values using the minimal possible lookback segment from the early input window, and achieved superior performance across a larger number of test cases compared to several recent State-of-the-Art methods.

Jyoti Kumari, Arijit Mondal, Jimson Mathew · 0 citations

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